A 3.5-hour general-audience lecture explaining how large language models like ChatGPT are built and work in practice.
It covers the full training pipeline, including data collection, tokenization, pre-training, fine-tuning, and reinforcement learning. The video also explains model behavior, limitations, and practical strategies for using LLMs effectively.
In this video, I show how to run large language models like Qwen3-235B in Q3_K_XL and GLM 4.5-Air-106B in Q6_K_XL on any AMD Ryzen AI MAX “Strix Halo”...
